MIMO radars

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

This dissertation enhances Frequency Modulated Continuous Wave (FMCW) radar effectiveness for automotive forward-looking Synthetic Aperture Radar (SAR) imaging and biomedical vital sign and dehydration monitoring by developing novel methodologies based on advanced signal processing, deep learning, and MIMO radar techniques.

Vijith Varma Kotte

Ph.D. Student, Electrical and Computer Engineering

Deep learning Signal processing Next generation wireless communications MIMO radars

PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Taha Bouchoucha

M.S., Computer, Electrical and Mathematical Sciences and Engineering

MIMO radars wireless sensor networks wireless networks social networks. connectivity

Taha Bouchoucha was a MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

José Maria Sosa Gómez

Ph.D. Student, Electrical and Computer Engineering

machine learning Deep-learning based detection radar applications MIMO radars Radar imaging Computer Vision for Automation Programming language Embedded system developing

PhD student at KAUST leveraging machine learning and radar systems to enhance patient procedures, under the guidance of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL).